About Us
COMPREDICT was founded by
Dr.-Ing. Rafael Fietzek and
Dr.-Ing. Stéphane Foulard in 2016 in Darmstadt, Germany.
Our focus lies on virtual sensors and software-based health and usage monitoring, including wear and failure prediction. We achieve this by combining domain expertise and data-driven approaches for mechanical, mechatronic, electric
and electronic components. We are an internationally staffed team working with automotive manufacturers, suppliers and telematics companies worldwide.
COMPREDICT was founded by
Dr.-Ing. Rafael Fietzek and
Dr.-Ing. Stéphane Foulard in 2016 in Darmstadt, Germany.
Our focus lies on virtual sensors and software-based health and usage monitoring, including wear and failure prediction. We achieve this by combining domain expertise and data-driven approaches for mechanical, mechatronic, electric
and electronic components.
We are an internationally staffed team working with automotive manufacturers, suppliers and telematics companies worldwide.
Accelerator Programs
Awards
2017
Main Award & Big Data Special Prize at BMWi Founder Awards in digital innovation
2018
2nd place at BMWi Digital Start-up of the year
Finalist in Falling Walls Ventures, Berlin
2019
Winner of NMW (New Mobility World) Lab Open Challenge
Frankfurt Forward – Start-up of the month 08/2019
2020
1st prize of Promotion Nordhessen – Innovation Award Mobility
2021
Winner of DB Mindbox – Startup Program from Deutsche Bahn
2017
Main Award & Big Data Special Prize at BMWi Founder Awards in digital innovation
2018
2nd place at BMWi Digital Start-up of the year
Finalist in Falling Walls Ventures, Berlin
2019
Winner of NMW (New Mobility World) Lab Open Challenge
Frankfurt Forward – Start-up of the month 08/2019
2020
1st prize of Promotion Nordhessen – Innovation Award Mobility
2021
Winner of DB Mindbox – Startup Program from Deutsche Bahn
Our project references
DB Mindbox | Train energy consumption
In this Proof of Concept (PoC) with DB Mindbox, we have developed a continuously working virtual sensor for train energy consumption, based on a GPS signal and altitude maps, for electric trains without telematics.
De4LoRa | Double e-Drive For Long Range
COMPREDICT provides virtual load estimations for the design of this innovative powertrain, as well as algorithms for lifetime prediction.
De4LoRa Project
“Double-E Drive for Long Range”
Zero-emission on everyday trips
The innovative “Double-E Drive for Long Range” will enable emission-free electric driving on everyday routes of less than 100 km ….
Fuel-efficient at long distance
… while at the same time offering full long-distance capability thanks to the low-emission and fuel-efficient natural gas engine (CNG).
CO2-neutral with biogas
… if fueled with biogas, the CNG engine will even run CO2-neutral on long distance trips.
COMPREDICT’s contribution
In this multiannual project, COMPREDICT provides the virtual load estimations for the powertrain design, as well as the algorithms for lifetime prediction.
COMPREDICT’s contribution
We are already looking forward to the tests on a powertrain test bench and in a real prototype vehicle, at a later stage of the project.
We are teaming up with
• Vitesco Technologies as coordinator
• Four institutes at Darmstadt Technical University
• Hyundai Motor Europe Technical Center GmbH
• APS-technology GmbH
• AVL Software and Functions GmbH
• BMZ Germany GmbH
• Isar Getriebetechnik GmbH & Co. KG and
• Windschiegl Maschinenbau GmbH.
Campus Free City | Connected CityBot vehicles
We contribute to this project with virtual sensors to predict and avoid component failures.
Campus Free City
A Reality Lab project for Research on a Connected Fleet of Modular Robotic Vehicles
Picture © EDAG Engineering GmbH
Connected CityBot vehicles
The connected vehicles from the EDAG Group will play the main role in the project “Campus Free City”.
Picture © EDAG Engineering GmbH
An innovative research project
… which is funded by the German Federal Ministry of Transport and Digital Infrastructure (BMDV) with around 11 million euros.
COMPREDICT’s contribution
In this project, we provide AI-based algorithms, so-called virtual sensors. Their aim is to predict and avoid vehicle component failures.
Our partners
A total of eight partners from industry and research team up in this consortium. The project will run from November 2021 to May 2024.
De4LoRa | Double e-Drive For Long Range
COMPREDICT provides virtual load estimations for the design of this innovative powertrain, as well as algorithms for lifetime prediction.
De4LoRa Project
“Double-E Drive for Long Range”
Zero-emission on everyday trips
The innovative “Double-E Drive for Long Range” will enable emission-free electric driving on everyday routes of less than 100 km ….
Fuel-efficient at long distance
… while at the same time offering full long-distance capability thanks to the low-emission and fuel-efficient natural gas engine (CNG).
CO2-neutral with biogas
… if fueled with biogas, the CNG engine will even run CO2-neutral on long distance trips.
COMPREDICT’s contribution
In this multiannual project, COMPREDICT provides the virtual load estimations for the powertrain design, as well as the algorithms for lifetime prediction.
COMPREDICT’s contribution
We are already looking forward to the tests on a powertrain test bench and in a real prototype vehicle, at a later stage of the project.
We are teaming
up with
• Vitesco Technologies as coordinator • Four institutes at Darmstadt Technical University
• Hyundai Motor Europe Technical Center GmbH • APS-technology GmbH • AVL Software and Functions GmbH • BMZ Germany GmbH • Isar Getriebetechnik GmbH & Co. KG and • Windschiegl Maschinenbau GmbH.
Campus Free City | Connected CityBot vehicles
We contribute to this project with virtual sensors to predict and avoid component failures.
Campus Free City
A Reality Lab project for Research on a Connected Fleet of Modular Robotic Vehicles
Picture © EDAG Engineering GmbH
Connected CityBot vehicles
The connected vehicles from the EDAG Group will play the main role in the project “Campus Free City”.
Picture © EDAG Engineering GmbH
An innovative research project
… which is funded by the German Federal Ministry of Transport and Digital Infrastructure (BMDV) with around 11 million euros.
COMPREDICT’s contribution
In this project, we provide AI-based algorithms, so-called virtual sensors. Their aim is to predict and avoid vehicle component failures.
Our partners
A total of eight partners from industry and research team up in this consortium. The project will run from November 2021 to May 2024.
Contact
+49 (0)6151 3844614
contact@compredict.ai
COMPREDICT GmbH
Rheinstraße 40-42
64283 Darmstadt, Germany